M. Lamba

46 papers receiving 239 citations

Peers

M. Lamba
Comparison fields: 5 of 106
  • Food Science 46
  • Radiological and Ultrasound Technology 12
  • Biochemistry 11
  • Plant Science 58
  • Statistics, Probability and Uncertainty 10
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Jordi Cruz Spain
Wei‐Hsun Wang Taiwan
Amna Ali Pakistan
Irène Allais France
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Citations per year

Countries citing papers authored by M. Lamba

Since Specialization
Citations

This map shows the geographic impact of M. Lamba's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by M. Lamba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Lamba more than expected).

Fields of papers citing papers by M. Lamba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Lamba. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M. Lamba. The network helps show where M. Lamba may publish in the future.

Co-authors

The 25 scholars most cited alongside M. Lamba, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Lamba Line = papers co-authored together M. Lamba links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Chemistry and biological activities of Anethum graveolens L. (dill) essential oil: A review
201746
2 202028
3 201528
4 202222
5 202016
6 202111
7
Health Benefits and Nutritional value of Flaxseed– A review
201610
8 20217
9 20227
10 20207
11 20246
12 20174
13 20224
14 20164
15
Litter decomposition dynamics in foothills agroforestry system of Indian Himalayan Shivalik range
20173
16 20233
17
Arbuscular mycorrhizal fungal colonization of Glycyrrhiza glabra roots enhances plant biomass,phosphorus uptake and concentration of root secondary metabolites
20143
18 20243
19 20243
20 20223

About M. Lamba

M. Lamba is a scholar working on Plant Science, Information Systems, Artificial Intelligence, Endocrinology, Diabetes and Metabolism and Organic Chemistry, having authored 55 papers that have together received 253 indexed citations. Recurring topics across this work include Occupational Health and Safety Research (3 papers), Blockchain Technology Applications and Security (3 papers), Natural Antidiabetic Agents Studies (2 papers), Legume Nitrogen Fixing Symbiosis (2 papers), Sports Analytics and Performance (2 papers), Catalytic C–H Functionalization Methods (2 papers), Plant Stress Responses and Tolerance (2 papers) and Essential Oils and Antimicrobial Activity (2 papers). The work is most often cited by research in Food Science (46 citations), Radiological and Ultrasound Technology (12 citations), Biochemistry (11 citations), Plant Science (58 citations) and Statistics, Probability and Uncertainty (10 citations). M. Lamba has collaborated with scholars based in India, Nepal and United Arab Emirates. Frequent co-authors include Milind Parle, Ajay Singh Verma, Urvashi Bhardwaj, Sarita Kumari, Naresh Kumar, Manoj Sharma, Seema Verma, B. L. Choudhary, Pardeep Kumar and Rohit Agrawal. Their work appears in journals such as Current Diabetes Reviews, The Journal of Academic Librarianship, Organic & Biomolecular Chemistry, ACS Omega and Journal of Ambient Intelligence and Humanized Computing.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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